DocumentCode :
695360
Title :
User Interaction Profiling on Facebook, Twitter, and Google+ across Radio Stations
Author :
Zelenkauskaite, Asta ; Simoes, Bruno
fYear :
2015
fDate :
5-8 Jan. 2015
Firstpage :
1657
Lastpage :
1666
Abstract :
Given the proliferation of social media in mass media contexts, how do media and their users interact on them? Guided by Para social interaction and multiplexity theory, the interaction between 223 Italian radio stations and their users was analyzed. Social network analysis was performed to identify the interconnectedness across radio stations and three social media platforms: Facebook, Twitter, and Google+. Findings revealed that radio stations did utilize multiple platforms, yet, the interactions were limited to content redistribution and repetition. As for the users, contrary to expected favoring of one specific radio, a large proportion of users interacted with multiple radio stations by fulfilling their individual instrumental goals. The results of this study were fore grounded in instrumental social capital framework. Implications of multiple interaction across platforms and radio stations signal the need to reconceptualize the instrumental needs users in light of this cross-platform behavior.
Keywords :
radio stations; social networking (online); Facebook; Google+; Italian radio stations; Twitter; content redistribution; content repetition; cross-platform behavior; instrumental social capital framework; interconnectedness identification; mass media contexts; multiplexity theory; parasocial interaction; social media proliferation; social network analysis; user interaction profiling; Data mining; Entertainment industry; Facebook; Media; Multiplexing; Twitter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location :
Kauai, HI
ISSN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2015.199
Filename :
7070009
Link To Document :
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